https://nova.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:49465 Thu 18 May 2023 14:20:04 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:38398 Thu 16 Dec 2021 12:19:25 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:40031 Thu 14 Jul 2022 13:53:12 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:44756 Mon 24 Oct 2022 08:42:37 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:52293 Mon 13 May 2024 13:01:48 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:51404 4 h/day), and calculated a sleep pattern composite score comprising morning chronotype, adequate sleep duration (7–8 h/day), never or rare insomnia, never or rare snoring, and infrequent daytime sleepiness. The overall sleep pattern was categorised into three groups (healthy: ≥ 4; intermediate: 2–3; and poor: ≤ 1 healthy sleep characteristic). Multiple logistic regression analyses were applied to assess associations between DST and sleep with adjustments for potential confounders. Participants with either an intermediate (OR: 1.40; 95% CI: 1.15, 1.71) or a poor (OR: 1.16; 95% CI: 1.10, 1.24) sleep pattern at baseline showed higher odds for high DST at follow-up, compared with those with a healthy baseline sleep pattern. Participants with medium (OR: 1.40; 95% CI: 1.14, 1.71) or high DST (OR: 1.62; 95% CI: 1.30, 2.00) at baseline showed higher odds for poor sleep at follow-up, compared with participants with a low DST. In conclusion, our findings provide consistent evidence that a high DST at baseline is associated with poor sleep over a nearly 7 year follow-up period, and vice versa.]]> Mon 04 Sep 2023 14:53:00 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:49490 Fri 19 May 2023 09:49:05 AEST ]]>